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Big Data-Driven Personalized and Preventive Diabetes Care

Kara, M.N. (2024) Big Data-Driven Personalized and Preventive Diabetes Care.

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Abstract:This study explores the usage of big data in personalized and preventive diabetes care. The increasing number of people affected by diabetes poses a significant global health concern. Technology is rapidly evolving, and big data represents a vital part of digital health technologies, offering significant potential for addressing this issue. Employing both qualitative and quantitative methodologies, we conducted a survey to collect data, followed by interviews with experts in the field. Data analysis was performed to examine insights from the survey, followed by the Gioia methodology for the interviews. Results indicate the importance of lifestyle factors in preventing diabetes, emphasizing the importance of adopting a healthy lifestyle. Furthermore, personalized care seems to be not commonly used in practice, due to the need for its development and the governmental impediments. Moreover, while big data holds potential for personalization and prevention, it is important to acknowledge and overcome the numerous challenges that persist. Our study highlights the importance of personalized interventions, such as coaching, in raising awareness, preventing diabetes and providing tailored interventions with the aid of big data. Additionally, governmental involvement is crucial for using personalized care and fostering awareness of a healthy lifestyle. Moving forward, investment in research and development is necessary to address existing challenges and facilitate the successful integration of big data into diabetes care.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Programme:Business Administration MSc (60644)
Link to this item:https://purl.utwente.nl/essays/98545
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